Data Analysis in the Intelligent Building Environment

Abstract

The article addresses the problem of intelligent analysis and evaluation of facility management data gathered from heterogeneous sources, including environmental data collected from building automation sensors, temporal weather characteristics and scheduling. We suggest the framework of analytical model, based on deriving descriptors which could sentinel the level of thermal comfort of working environments. The model aims to facilitateprocess of extracting essential characteristics of facility management for detecting dependencies and observing anomalies. The framework aims to discover hidden relations between performance of building conditioning and environmental and spatial factors that cannot be observed from the building automation system itself. The performance of the model was tested by experimental analysis of facility management of the university cam- pus, designed for exploring how various environment variables affect temperature in the lecture rooms, equipped by the air conditioning devices. Based on the obtained results, we elaborate on further steps needed for beneficial, efficient and flexible data analysis system for the field of facility management.